3D Stem
Radar Pulse Return Signals
Radar sweep visualization showing return signal intensity at various azimuths and ranges.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(333)
# Radar return signals
n = 32
azimuth = np.linspace(0, 2*np.pi, n, endpoint=False)
range_km = np.random.uniform(5, 50, n)
intensity = np.random.exponential(0.5, n) * (1 + np.cos(azimuth * 2))
x = range_km * np.cos(azimuth) / 50
y = range_km * np.sin(azimuth) / 50
z = intensity / intensity.max()
fig = plt.figure(figsize=(10, 8), facecolor='#0a0a0f')
ax = fig.add_subplot(111, projection='3d', facecolor='#0a0a0f')
markerline, stemlines, baseline = ax.stem(x, y, z, linefmt='-', markerfmt='o', basefmt=' ')
plt.setp(stemlines, color='#14b8a6', linewidth=1.5, alpha=0.8)
plt.setp(markerline, color='#2dd4bf', markersize=7)
ax.set_xlabel('X (normalized)', color='white', fontsize=10)
ax.set_ylabel('Y (normalized)', color='white', fontsize=10)
ax.set_zlabel('Intensity', color='white', fontsize=10)
ax.set_title('Radar Pulse Return Signals', color='white', fontsize=14, fontweight='bold', pad=20)
ax.tick_params(colors='#64748b', labelsize=8)
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#1e293b')
ax.yaxis.pane.set_edgecolor('#1e293b')
ax.zaxis.pane.set_edgecolor('#1e293b')
ax.view_init(elev=30, azim=45)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
3D Charts
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